Artificial Intelligence & Analytics Lead - Commercial Digital Products

About the Role

Key Responsibilities

• Identify and define opportunities aligned to Institutional & Specialty business challenges, navigating a wide range of problems and solution approaches.
• Drive experimentation and delivery of digital data science product innovations aligned to the overall digital product vision.
• Work within an agile global resource model, planning for and delivering against strategically aligned initiatives as a team.
• Network and collaborate with a broad range of internal business stakeholders to link and translate business strategy / VOC to technical opportunities, innovation build, and lifecycle management.
• Provide clear, consistent communication and presentation to various product stakeholders.
• Manage and/or mentor junior data scientists in the organization, fostering their development with hands-on engagement and a team mentality.
• Utilize an extensive foundation of data science principles, methods, theories, and concepts to bring creativity, quality, and technical ownership to the development of new, innovative AI solutions.

Requirements

• Bachelor's Degree in Data Science, Economics, Math, Statistics or related field with an emphasis on analytics and 8 years of experience in progressive data science roles or Master's degree with 5 years of experience in progressive data science roles.
• Experience and proficiency in Python and SQL.
• Excellent communication and presentation skills, effectively partnering and delivering results to a broad spectrum of stakeholders.
• Ability to thrive in an ambiguous environment, embracing change and challenging the status quo.
• Experience leading project teams with cross-functional influence.
• Experience with full lifecycle of data science product development.
• Proven reasoning in balancing practical business needs and analytics rigor.

Nice to Have

• Demonstrated interconnected disciplinary knowledge of digital solution development.
• Proficiency in the Microsoft Azure Suite, including Databricks and PowerBI.
• Working knowledge of DevOps, git, Snowflake, and distributed compute platforms.
• Proficiency with time series and sensor data.
• Experience in consulting and/or product management.
• Well-developed and proven leadership, strategic thinking, and business acumen.

Qualifications

• Bachelor's Degree in Data Science, Economics, Math, Statistics or related field with an emphasis on analytics and 8 years of experience or Master's degree with 5 years of experience.

Benefits & Perks

• Comprehensive and market-competitive benefits to meet the needs of associates and their families.
• Eligible for annual bonus pay based on performance.
• Salary range: $149,700 - $224,500, with factors such as experience, education, and location considered.